{"id":"W4402843265","doi":"10.5267/j.dsl.2024.9.002","title":"Relationship between renewable energy consumption and its impact on CO2 emissions in Peru, 1990-2020","year":2024,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Consumption (sociology); Energy consumption; Natural resource economics; Greenhouse gas; Environmental economics; Energy (signal processing); Economics; Business; Environmental science; Engineering; Sociology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006635304,0.0002605089,0.0001754268,0.0008075628,0.0001940212,0.0006461205,0.0002204735,0.000587293,0.002457231],"category_scores_gemma":[0.002248706,0.00017759,0.0005101837,0.001642592,0.0002444938,0.0003734367,0.0005267662,0.0006202813,0.0005475382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000771212,"about_ca_system_score_gemma":0.0004219275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0606438,"about_ca_topic_score_gemma":0.05195448,"domain_scores_codex":[0.9998119,0.00005204724,0.00001578005,0.00004143676,0.00002849656,0.00005038509],"domain_scores_gemma":[0.9985363,0.0003783842,0.0005729068,0.00003439841,0.0003467684,0.0001311653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001991092,0.00007504801,0.991756,0.00005468999,0.0002534516,0.0001162144,0.0001786971,0.001319471,0.0003637709,0.0003241763,0.001269387,0.004090026],"study_design_scores_gemma":[0.000007920017,0.0000849192,0.9962226,0.00001804601,0.00009179496,0.00008337422,0.0002805916,0.001103613,0.0001887385,0.00009152056,0.00181997,0.000006835854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984247,0.002257322,0.0003738879,0.001395271,0.00002608253,0.00001352408,0.006512073,0.00004736481,0.005127489],"genre_scores_gemma":[0.9918444,0.001118454,0.0001550525,0.00008275811,0.00002831747,0.00001966874,0.005120063,0.000006131025,0.001625132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0606438,"threshold_uncertainty_score":0.1205816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03669228746488225,"score_gpt":0.3239514834711009,"score_spread":0.2872591960062186,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}